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Inflammatory Biomarkers for Persistent Fatigue in Breast Cancer Survivors
Purpose: This study seeks to define immunologic and inflammatory variables associated with persistent post-treatment fatigue in breast cancer survivors. Experimental Design: Leukocyte subsets, plasma inflammatory markers, and ex vivo proinflammatory cytokine production were assessed in 50 fatigued a...
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Published in: | Clinical cancer research 2006-05, Vol.12 (9), p.2759-2766 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose: This study seeks to define immunologic and inflammatory variables associated with persistent post-treatment fatigue in breast
cancer survivors.
Experimental Design: Leukocyte subsets, plasma inflammatory markers, and ex vivo proinflammatory cytokine production were assessed in 50 fatigued and nonfatigued breast cancer survivors recruited ≥2 years
after successful primary therapy. Multivariate statistical analyses were used to define a composite immunologic biomarker
of fatigue risk.
Results: Fatigued breast cancer survivors were distinguished from nonfatigued survivors by increased ex vivo monocyte production of interleukin (IL)-6 and tumor necrosis factor-α following lipopolysaccharide stimulation, elevated
plasma IL-1ra and soluble IL-6 receptor (sIL-6R/CD126), decreased monocyte cell-surface IL-6R, and decreased frequencies of
activated T lymphocytes and myeloid dendritic cells in peripheral blood (all P < 0.05). An inverse correlation between sIL-6R and cell-surface IL-6R was consistent with inflammation-mediated shedding
of IL-6R, and in vitro studies confirmed that proinflammatory cytokines induced such shedding. Multivariate linear discriminant function analysis
identified two immunologic markers, the ratio of sIL-6R to monocyte-associated IL-6R and decreased circulating CD69 + T lymphocytes, as highly diagnostic of fatigue ( P = 0.0005), with cross-validation estimates indicating 87% classification accuracy (sensitivity = 0.83; specificity = 0.83).
Conclusion: These results extend links between fatigue and inflammatory markers to show a functional alteration in proinflammatory cytokine
response to lipopolysaccharide and define a prognostic biomarker of behavioral fatigue. |
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ISSN: | 1078-0432 1557-3265 |
DOI: | 10.1158/1078-0432.CCR-05-2398 |